Table 4:
Univariable/Multivariable Logistic Regression Models for Predictors of CMD.
| Univariable Logistic Analysis | Multivariable Logistic Analysis | |||||
|---|---|---|---|---|---|---|
| Variable | χ2 | Odds Ratio (95% CI) | P-value | χ2 | Odds Ratio (95% CI*) | P-value* |
| GFR (per mL/min/1.73m2) | 5.67 | 0.951 (0.909 – 0.989) | 0.017 | 6.28 | 0.95 (0.90 – 0.99) | 0.012 |
| BMI (per kg/m2) | 3.43 | 1.107 (0.998 – 1.242) | 0.064 | 4.07 | 1.13 (1.0 – 1.28) | 0.044 |
| HTN | 4.95 | 10.9 (1.96 – 240) | 0.026 | |||
| Total cholesterol (per mg/dL) | 3.66 | 1.017 (1.0 – 1.035) | 0.056 | |||
| METs on stress (per MET) | 4.46 | 0.634(0.384 – 0.915) | 0.035 | |||
P-values <0.05 were considered statistically significant.
BMI indicates body-mass index; GFR, glomerular filtration rate; HTN, hypertension; METs, metabolic equivalents.